Top Remote Systems Engineer Jobs in Boston, MA

Own and automate end-to-end employee lifecycle and shared IT infrastructure using infrastructure-as-code and SRE practices. Manage ITSM platform and AI-driven virtual agents, build integrations (Okta, Workday, JAMF, Google Workspace, Slack, Zoom, GitLab), instrument metrics, ensure reliability and compliance, and mentor support engineers.

Lead development and integration of Salesforce-centered GTM systems: build Apex/LWC solutions, design event-driven integrations, optimize data flows to Snowflake, manage CI/CD with Gearset/Git, write SQL for reporting and data quality, troubleshoot production, and mentor developers while advancing AI-enabled, composable CRM automation.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Own and engineer Arcadia's go-to-market technology stack (Salesforce, Planhat, RocketLane), building integrations, automations, and AI agents. Lead platform overhaul, data quality, reporting, deployments, documentation, user enablement, and cross-team partnership to scale Sales, Marketing, and Customer Operations.

Senior technical owner of an existing NetSuite ERP: provide Tier 2/3 production support, triage and permanently resolve incidents, build and optimize SuiteScript 2.x and SuiteFlow customizations, maintain integrations (Deposco WMS, Salesforce via Jitterbit), manage SDF sandbox-to-production promotions, monitor performance, ensure release readiness, author runbooks, and operate under ITGC/SOX-adjacent change management with on-call responsibilities.

Own and administer Salesforce and NetSuite while designing and deploying production-grade AI-driven automations and agent workflows. Ensure data governance, PHI/HIPAA compliance, release management, and quote-to-cash integrity. Partner cross-functionally to prioritize work, coach teams, document systems, and measure impact of automation on operations and revenue.

Lead architecture, development, and validation of end-to-end aircraft fuel systems. Drive cross-functional integration, system-level modeling (CFD), verification, supplier qualification, ground and flight test support, anomaly root-cause analysis, and mentor engineering teams while contributing to long-term fuel-system technology roadmaps.

The Cloud Systems Engineer will manage cloud networks, perform system integration and validation, identify process improvements, and support enterprise AWS environments.

The role focuses on ensuring stability and operations of cloud systems, performing integration and validation, and driving improvements in infrastructure management.

Own and operate Anthropic's endpoint platform: manage MDM as a production service, author configuration-as-code, build zero-touch provisioning and patching automation, run fleet software distribution and telemetry, partner on endpoint security and compliance, and serve as deep escalation for endpoint issues.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

Lead architecture, deployment, and operation of a hybrid HPC–quantum platform. Manage Linux-based GPU clusters, QPU hardware, schedulers (Slurm), networking, storage, and vendor integrations. Enable researchers by optimizing, benchmarking, and documenting hybrid workflows and supporting application performance and orchestration across classical and quantum systems.

Responsible for designing, developing, configuring, and supporting Commvault backup and recovery solutions for a federal government environment, including troubleshooting and maintaining data protection systems.

Support and maintain server and systems infrastructure (hardware/software), monitor performance, perform maintenance and upgrades, administer Active Directory and identity platforms (Okta, Google Cloud Identity, AWS IAM), assist with systems design, troubleshoot enterprise systems, enforce IAM security standards, and produce documentation and reports.

Build and optimize high-performance systems for large-scale ML training: profile and remove bottlenecks, optimize distributed training, develop GPU kernels (Triton/CUDA), and engineer high-throughput data pipelines to reduce time-to-convergence and improve reliability and cost-efficiency.

Designs, maintains, and modernizes production system integrations and customer-hosted Linux infrastructure. Responsibilities include data interfaces, monitoring, troubleshooting, releases, backups, disaster recovery, security, migrations, CI/CD adoption, documentation, customer coordination, and on-call support. The role works with legacy systems in healthcare environments under HIPAA requirements and uses Claude Code for scripting and code review. It requires strong Linux administration, Bash scripting, Git, build and release management, secure data transfer, and production systems experience.

Manage merchant and POS vendor certification lifecycles from initiation through production release. Create and troubleshoot technical test scripts, configure payment test environments, establish secure connectivity, query SQL databases, validate transaction data, support post-launch stabilization, resolve authorization and terminal issues, and ensure compliance with payment interface specifications. Lead stakeholder meetings and identify opportunities for AI-assisted diagnostics and process automation.

Own the architecture and long-term direction of Polymarket’s intelligence-fusion platform. Design detection and correlation methods, ingest on-chain and OSINT data, improve data pipelines, automate investigation workflows, and build auditable tooling with analysts and investigators. The role requires deep experience in data or detection engineering, entity resolution, data fusion, scoring, corroboration, and scalable scheduled and event-driven systems. Experience with fraud, trust and safety, investigations, blockchain, or crypto data is advantageous.

Build and operate highly available, fault-tolerant distributed systems for Netflix’s enterprise workflow platform. Responsibilities include developing scalable infrastructure, improving developer experience and observability, setting technical direction, making architectural decisions, mentoring engineers, collaborating cross-functionally, participating in on-call rotations, and leading incident reviews. The role supports workflow, data, messaging, and communication platforms used across Netflix’s global content production organization.

Design, build, and operate scalable, fault-tolerant distributed data infrastructure and platform tooling. Collaborate cross-functionally to architect high-impact systems, contribute to library and platform development, and improve deployment, control, and observability for large-scale data systems.

Lead technical direction and architecture for a low-latency, high-throughput ad-serving platform. Design and optimize concurrent distributed systems, profile and mitigate tail latencies, build automated performance benchmarking in CI/CD, and create modular entry points for model-serving and demand systems. Ensure operational excellence, resiliency, and cross-team collaboration to meet SLAs and uptime targets.

Design, build, and operate cloud-native, large-scale distributed data infrastructure (Spark, Presto/Trino, Druid, Iceberg). Improve performance, scalability, and reliability, collaborate cross-functionally, and contribute to open-source projects.

Build and operate scalable, fault-tolerant distributed data infrastructure and platforms. Design and implement RESTful services, tackle multi-threading and reliability challenges, partner cross-functionally to enable data movement, storage, schema management, and developer experience at large scale.

Build and operate low-latency, highly available distributed data systems and services to deliver high-quality data products that power ML models and product experiences. Partner with data scientists and product teams, design scalable multi-tenant systems, ensure observability and operational reliability, and enable self-service data access.

Build and operate Netflix's Membership & Monetization Platform at massive scale. Design product-facing features and platform infrastructure, solve distributed-systems correctness and performance challenges, partner cross-functionally, and own production reliability including on-call duties for Tier 0 services.